Application of Unnormalized Neurostructural Models ANFIS for the Tasks of Binary Classification

摘要

In this paper, we consider the construction of binary classifiers ensembles on the basis of unnormalized form of ANFIS models. We notice training performance boost due to simplified model structure. In addition, the unnormalized ANFIS architecture provides the ground for effective task parallel decomposition of training procedures.